Frontiers of Optoelectronics, Volume. 10, Issue 1, 62(2017)
Hybrid algorithm combining genetic algorithm with back propagation neural network for extracting the characteristics of multi-peak Brillouin scattering spectrum
In this study, a hybrid algorithm combining genetic algorithm (GA) with back propagation (BP) neural network (GA-BP) was proposed for extracting the characteristics of multi-peak Brillouin scattering spectrum. Simulations and experimental results show that the GA-BP hybrid algorithm can accurately identify the position and amount of peaks in multi-peak Brillouin scattering spectrum. Moreover, the proposed algorithm obtains a fitting degree of 0.9923 and a mean square error of 0.0094. Therefore, the GA-BP hybrid algorithm possesses a good fitting precision and is suitable for extracting the characteristics of multi-peak Brillouin scattering spectrum.
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Yanjun ZHANG, Jinrui XU, Xinghu FU, Jinjun LIU, Yongsheng TIAN. Hybrid algorithm combining genetic algorithm with back propagation neural network for extracting the characteristics of multi-peak Brillouin scattering spectrum[J]. Frontiers of Optoelectronics, 2017, 10(1): 62
Category: RESEARCH ARTICLE
Received: Jun. 3, 2016
Accepted: Nov. 26, 2016
Published Online: May. 9, 2017
The Author Email: FU Xinghu (fuxinghu@ysu.edu.cn)